ZIP code
97385
in Sublimity, OregonPopulation 3,823
49.98/ 100
Ranked #16,278 of 32,066 US ZIPs (bottom 49%)
Ranked #181 of 407 Oregon ZIPs (top 44%)
Ranked #15 of 30 Salem, OR ZIPs (top 50%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Air-toxics cancer risk
51.9 per million
in the top 0.6% nationally
Lower is healthier
ST88thUS99thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Natural-disaster risk
in the top 6.1% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Humid extreme heat
10 days/year
in the bottom 7.0% nationally
Lower is healthier
ST29thUS7thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Housing-cost burden
42.3%
in the top 7.8% nationally
Lower is healthier
ST90thUS92ndDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Mammography
80.5%
in the top 8.7% nationally
Higher is healthier
ST95thUS91stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Energy-cost burden
1.8%
in the bottom 9.5% nationally
Lower is healthier
ST19thUS9thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Fiber broadband
86.9%
in the top 18% nationally
Higher is healthier
ST91stUS82ndDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Obesity
41%
in the top 18% nationally
Lower is healthier
ST91stUS82ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
By the composite measure, Sublimity, Oregon (ZIP 97385) sits in the bottom 49% nationally (16,278th) and the top 44% of Oregon (181st).
Where the data leans one way, another reading answers it: modeled humid heat lies in the bottom 7.0% nationally, floodplain exposure settles in the bottom 11.2% nationally, and modeled mammography stands in the top 8.7% nationally. Modeled energy burden is in the bottom 9.5% nationally, pfas rests in the bottom 13.1% nationally, and short sleep sits in the bottom 15% nationally. On the other hand, modeled air-toxics cancer risk registers in the top 0.6% nationally, and disaster risk lands in the top 6.1% nationally. Housing-cost burden resides in the top 7.8% nationally, and distance to a nursing home lies in the top 14.2% nationally.
In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. ZIP 97325, just across the boundary, ranks healthier overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Salem, OR metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 71%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 92%
11%
Climate / Disaster Risk
healthier than 98%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Environmental Hazard
healthier than 32%
14%
Mental Health
healthier than 29%
8%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 20%
5%
Lifting this score
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 69%
8%
Climate / Disaster Risk
healthier than 91%
5%
About typical
Social Need / SDOH
healthier than 52%
16%
Environmental Hazard
healthier than 53%
14%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Disability
healthier than 34%
7%
Healthcare Access
healthier than 29%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 94%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 11%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
97317
Oregonshares a border
Score 49.45
Closest healthier
97325
Oregonshares a border
Score 52.60
Similar health profile
97462
Oregon97% similar profile
Score 49.30
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 36.3% | 33.0–39.7 |
| High blood pressure among adults | 40.7% | 37.0–44.4 |
| Cancer (non-skin) or melanoma among adults | 12.6% | 11.3–13.9 |
| Current asthma among adults | 12.5% | 11.1–14.1 |
| Coronary heart disease among adults | 9.2% | 8.0–10.6 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 7.5–11.0 |
| Depression among adults | 26.9% | 23.7–30.4 |
| Diagnosed diabetes among adults | 14.2% | 12.3–16.3 |
| High cholesterol among adults who have ever been screened | 39.8% | 36.1–43.6 |
| Obesity among adults | 41.0% | 36.0–46.2 |
| Stroke among adults | 4.7% | 4.0–5.4 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.9–14.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.6–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.7% | 74.8–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.2–81.0 |
| Cholesterol screening among adults | 87.5% | 85.7–89.2 |
| Colorectal cancer screening among adults aged 45–75 years | 67.6% | 63.3–71.8 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 62.4–68.9 |
| Mammography use among women aged 50-74 years | 80.5% | 75.0–85.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.3–15.6 |
| Current cigarette smoking among adults | 11.6% | 9.4–14.0 |
| No leisure-time physical activity among adults | 21.7% | 17.8–25.9 |
| Short sleep duration among adults | 31.1% | 27.0–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 17.8–24.7 |
| Frequent mental distress among adults | 16.5% | 14.4–18.6 |
| Frequent physical distress among adults | 15.8% | 13.6–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.4–16.8 |
| Any disability among adults | 35.8% | 31.3–40.3 |
| Hearing disability among adults | 10.3% | 9.0–11.8 |
| Independent living disability among adults | 9.2% | 7.7–10.9 |
| Mobility disability among adults | 18.1% | 15.1–21.3 |
| Self-care disability among adults | 4.2% | 3.5–5.0 |
| Vision disability among adults | 5.3% | 4.5–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.2% | 10.6% (3.1–25.8%) n=32,364 | 11.7% (4.7–26.4%) n=411 |
| Uninsured 18–64 | 3.6% | 9.0% (1.5–24.3%) n=32,286 | 7.9% (0.9–19.7%) n=411 |
| No HS diploma (25+) | 13.2% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (1.2–16.6%) n=412 |
| Bachelor's or higher (25+) | 30.5% | 23.3% (9.2–53.6%) n=32,505 | 23.7% (11.1–49.6%) n=412 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–10.0%) n=409 |
| Households without a vehicle | 7.9% | 3.9% (0.0–12.5%) n=32,322 | 3.3% (0.0–10.0%) n=410 |
| Broadband subscription | 85.8% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (76.7–96.9%) n=410 |
| Housing cost burden (≥30% income) | 42.3% | 23.7% (10.6–40.0%) n=32,322 | 29.9% (14.6–42.0%) n=410 |
| Homeownership rate | 76.4% | 78.7% (51.7–94.0%) n=32,322 | 73.5% (52.8–90.2%) n=410 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 2.1% (0.0–6.7%) n=410 |
| Foreign-born population | 8.7% | 2.6% (0.0–18.6%) n=32,553 | 4.0% (0.0–13.0%) n=412 |
| Single-parent households | 51.2% | 53.6% (37.3–74.1%) n=32,087 | 57.5% (43.5–77.1%) n=407 |
| Population 65+ | 27.9% | 19.4% (10.8–33.6%) n=32,553 | 22.5% (12.7–42.1%) n=412 |
| Median age | 46.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.1 yr (36.3–62.2) n=410 |
| Median household income | $84,796 | $72,070 ($46,039–$118,707) n=30,318 | $72,301 ($49,007–$109,558) n=378 |
| Median home value | $494,600 | $222,200 ($100,300–$579,820) n=30,049 | $413,900 ($238,120–$653,360) n=374 |
| Median gross rent | $1,589 | $1,021 ($677–$1,912) n=25,670 | $1,252 ($807–$1,772) n=327 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.0 yr ± 0.68 | 78.9 yr (74.7–82.8) n=31,308 | 79.1 yr (76.4–82.0) n=409 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.68 years of 78.0, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured